Studying the Effects of Collaboration in Interactive Theme Discovery Systems
NLP-assisted solutions have gained considerable traction to support qualitative data analysis. However, there does not exist a unified evaluation framework that can account for the many different settings in which qualitative researchers may employ them. In this paper, we take a first step in this d...
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| creator | Chen, Alvin Po-Chun Dananjay Srinivas Barry, Alexandra Seniw, Maksim Pacheco, Maria Leonor |
| description | NLP-assisted solutions have gained considerable traction to support qualitative data analysis. However, there does not exist a unified evaluation framework that can account for the many different settings in which qualitative researchers may employ them. In this paper, we take a first step in this direction by proposing an evaluation framework to study the way in which different tools may result in different outcomes depending on the collaboration strategy employed. Specifically, we study the impact of synchronous vs. asynchronous collaboration using two different NLP-assisted qualitative research tools and present a comprehensive analysis of significant differences in the consistency, cohesiveness, and correctness of their outputs. |
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| subjects | Collaboration Cooperation Data analysis Impact analysis Interactive systems Qualitative analysis |
| title | Studying the Effects of Collaboration in Interactive Theme Discovery Systems |
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